Numeracy Infusion Course for Higher Education (NICHE), 2: Development of Students' Bayesian Reasoning Skill

Gerd Gigerenzer's technique of frequency representations for solving the medical diagnosis problem, mammography problem, and other Bayesian reasoning problems is summarized in this paper. Such a method has been introduced to community college students in an elementary statistics course. With re...

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Main Author: Frank Wang
Format: Article
Language:English
Published: National Numeracy Network 2015-07-01
Series:Numeracy
Subjects:
Online Access:http://scholarcommons.usf.edu/numeracy/vol8/iss2/art7/
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author Frank Wang
author_facet Frank Wang
author_sort Frank Wang
collection DOAJ
description Gerd Gigerenzer's technique of frequency representations for solving the medical diagnosis problem, mammography problem, and other Bayesian reasoning problems is summarized in this paper. Such a method has been introduced to community college students in an elementary statistics course. With repeated practice, many community college students can acquire the skill and avoid reported judgment errors that are commonly committed by medical professionals. However, weaknesses in basic skills such as percentage calculations prevent some students from obtaining the correct probability.
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spelling doaj.art-678e163a30294275aced8e31486eeb042022-12-22T03:12:10ZengNational Numeracy NetworkNumeracy1936-46601936-46602015-07-01827http://dx.doi.org/10.5038/1936-4660.8.2.7Numeracy Infusion Course for Higher Education (NICHE), 2: Development of Students' Bayesian Reasoning SkillFrank Wang0LaGuardia Community College, CUNYGerd Gigerenzer's technique of frequency representations for solving the medical diagnosis problem, mammography problem, and other Bayesian reasoning problems is summarized in this paper. Such a method has been introduced to community college students in an elementary statistics course. With repeated practice, many community college students can acquire the skill and avoid reported judgment errors that are commonly committed by medical professionals. However, weaknesses in basic skills such as percentage calculations prevent some students from obtaining the correct probability.http://scholarcommons.usf.edu/numeracy/vol8/iss2/art7/cognitive illusionBayesian reasoningmedical diagnosis problemmammography problem
spellingShingle Frank Wang
Numeracy Infusion Course for Higher Education (NICHE), 2: Development of Students' Bayesian Reasoning Skill
Numeracy
cognitive illusion
Bayesian reasoning
medical diagnosis problem
mammography problem
title Numeracy Infusion Course for Higher Education (NICHE), 2: Development of Students' Bayesian Reasoning Skill
title_full Numeracy Infusion Course for Higher Education (NICHE), 2: Development of Students' Bayesian Reasoning Skill
title_fullStr Numeracy Infusion Course for Higher Education (NICHE), 2: Development of Students' Bayesian Reasoning Skill
title_full_unstemmed Numeracy Infusion Course for Higher Education (NICHE), 2: Development of Students' Bayesian Reasoning Skill
title_short Numeracy Infusion Course for Higher Education (NICHE), 2: Development of Students' Bayesian Reasoning Skill
title_sort numeracy infusion course for higher education niche 2 development of students bayesian reasoning skill
topic cognitive illusion
Bayesian reasoning
medical diagnosis problem
mammography problem
url http://scholarcommons.usf.edu/numeracy/vol8/iss2/art7/
work_keys_str_mv AT frankwang numeracyinfusioncourseforhighereducationniche2developmentofstudentsbayesianreasoningskill